期刊论文

Cheng, C

英文

Water

2073-4441

2025

17

17

2644-

10.3390/w17172644

Conceptualization, R.L. and X.X.; methodology, D.W. and L.W.; software, Z.Y.; validation, R.L., L.W. and Z.Y.; formal analysis, C.C.; investigation, Z.Y.; resources, X.X.; data curation, L.W.; writing—original draft preparation, R.L. and D.W.; writing—review and editing, R.L. and D.W.; visualization, D.W.; supervision, C.C.; project administration, C.C.; funding acquisition, C.C. All authors have read and agreed to the published version of the manuscript. This research was funded the Key Projects of the Joint Meteorological Fund of the Natural Science Foundation of Hubei Province: No.2022CFD017; the Guizhou Meteorological Service Center: No.24SWQXZ034.

本校为第一机构

Accurate river flow forecasting is vital for flood warning and water resource management, yet hourly-scale prediction in small catchments remains underexplored despite its importance for rapid response flood control. To address this gap, this study proposes an enhanced temporal attention module xLSTM (TAM-xLSTM) model that combines temporal feature extraction with timestep-level attention to better capture dynamic variations and dependencies. Case studies in the Qiandongnan region demonstrate that TAM-xLSTM substantially outperforms baseline mo...